Ficili Ilenia, Giacobbe Maurizio, Tricomi Giuseppe, Puliafito Antonio
Department of Engineering, University of Messina, 98166 Messina, Italy.
Institute for High-Performance Computing and Networking of National Research Council of Italy (ICAR-CNR), 80131 Napoli, Italy.
Sensors (Basel). 2025 Mar 12;25(6):1763. doi: 10.3390/s25061763.
The exponential growth of connected devices and sensor networks has revolutionized data collection and monitoring across industries, from healthcare to smart cities. However, the true value of these systems lies not merely in gathering data but in transforming it into actionable intelligence. The integration of IoT, cloud computing, edge computing, and AI offers a robust pathway to achieve this transformation, enabling real-time decision-making and predictive insights. This paper explores innovative approaches to combine these technologies, emphasizing their role in enabling real-time decision-making, predictive analytics, and low-latency data processing. This work analyzes several integration approaches among IoT, cloud/edge computing, and AI through examples and applications, highlighting challenges and approaches to seamlessly integrate these techniques to achieve pervasive environmental intelligence. The findings contribute to advancing pervasive environmental intelligence, offering a roadmap for building smarter, more sustainable infrastructure.
连接设备和传感器网络的指数级增长彻底改变了各个行业的数据收集和监测方式，从医疗保健到智慧城市皆是如此。然而，这些系统的真正价值不仅在于收集数据，还在于将其转化为可付诸行动的情报。物联网、云计算、边缘计算和人工智能的整合提供了一条实现这一转变的强大途径，能够实现实时决策和预测性洞察。本文探讨了结合这些技术的创新方法，强调了它们在实现实时决策、预测分析和低延迟数据处理方面的作用。这项工作通过示例和应用分析了物联网、云/边缘计算和人工智能之间的几种整合方法，突出了无缝整合这些技术以实现普适环境智能所面临的挑战和方法。这些研究结果有助于推动普适环境智能的发展，为构建更智能、更可持续的基础设施提供了路线图。
